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PostDoc Researcher - Ongoing

Medical Imaging and Signal Processing Research Center - Medical University of Isfahan, Iran.

PostDoc Researcher

• Developed data clustering and purification pipelines, semi-automated data labeling systems, deep learning models, and analysis software.
• Conducted AI jump-start courses for university professors and medical experts, tailored to various branches of medicine. These courses aimed to foster interdisciplinary research teams focused on AI research and application design, while also providing support grants.
• Designed university curricula for teaching AI applications in Ophthalmology and Dentistry, and actively participated in teaching the Ophthalmology curriculum.
• Collaborated across multiple disciplines, including general medicine, pathology, dentistry, ophthalmology, pharmacy, and neuroscience.
• Implemented computational infrastructure for online and remote training programs.

Remote Researcher - Ongoing

Researcher - Seoul National University - Machine Perception and Reasoning lab.

Remote Researcher

• mentoring two MS students
• Project 1 - Depth estimation with Event Cameras using Spiking Neural Networks
• Project 2 - Image-to-image Translation with Diffusion Models
• Paper contributions (submission to CVPR'25|ICML'25).

(Senior) Research Scientist and Team leader - 3 yrs

Oncology Model-Centric AI Research - Lunit Inc., South Korea.

Research Scientist (21.06~24.03), Team Leader (23.03~24.03).

• Led a team of 3~4 members.
• Improved performance of SCOPE™ products and pharma-requested models/bakeoffs.
• Developed CV/ML-based cell detection and tissue segmentation models for SCOPE™ (IO, PD-L1, HER2), and UIHC.
• Lead taskforces in 4 out of 8 model development sprints.
• Developing further product-oriented research directions e.g. Universal IHC models [A1], Sub-cellular models [P1], WSI synthesis, and End-point mutations.
• Shared recent CV/ML trends through study groups, weekly research seminars, and yearly department-wise seminars.
• Published findings, practices, and resources in Computational Pathology and PathOmics, including Abstracts [A1~A4], Journals [J3, J4], Patents [P1], and Challenges [S3].
• Collaborated across desciplines of pathology, biomedical engineering, product engineering, and business development.

Research Assistant (RA), Ph.D. student - 6 yrs

GIST Comp. Vis. lab, KAIST Vis. Intel. lab, South Korea.

RA at GIST (2015~2021), RA at KAIST (2017~2019).

• Proposed novel deep-learning approaches on the event-based vision for image reconstruction [J1, C3], super-resolution [J2, C4], and depth estimation [C1, C2].
• Published in top-tier journals (TPAMI/IJCV [J1, J2]), conferences (CVPR/IJCV [C1~C4] - 1 oral), and registered a Patent [P2].
• Mentored a master's student, from teaching basic concepts to publishing in a CVPR paper [C1].
• Ranked #1 in CVPRW Event-based Vision Competition (2021).
• Contributed to the research community by releasing 2 code repos on GitHub from papers: https://github.com/gistvision/e2sri (50⭐)[C3] (June 2024), https://github.com/yonseivnl/se-cff (37⭐)[C1] (June 2024).

Further Experiences

Miscellaneous Academic and Industrial positions

• Instrumentation supervisor - Esfahan Petrochemical Company (Spring 2013 - Fall 2015).
• Researcher - Isfahan University of Technology (Fall 2012 - Spring 2013), Subsea R&D center.
• Instructor - Islamic Azad University, Mobarakeh Branch (2011 and 2013).

Ph.D.

GIST - Gwangju Institute of Science and Technology.

Electrical Engineering and Computer Science.

• Recieved the Presidential Excellence Award for my Dissertation.
• Dissertation title: 'Event-based vision: Image reconstruction, Super-resolution, Depth estimation'.
• Advisor: Prof. Jonghyun Choi (GIST - now at SNU).
• Co-Advisor: Prof. Kuk-Jin Yoon (KAIST).

M.Sc.

Hakim Sabzevari University

Electrical Engineering and Electronics

• Thesis title: 'Facial Image Super-Resolution Using Weighted Patch Pairs'.
• Advisor: Prof. Javad Haddadnia (Hakim Sabzevari University)
• Co-Advisor: Prof. Payman Moallem (University of Esfahan).

[J6] A universal immunohistochemistry analyzer for generalizing AI-driven assessment of immunohistochemistry across immunostains and cancer types

npj precision oncology 2024 - B Brattoli*, M Mostafavi*, T Lee*, W Jung, J Ryu, S Park, J Park, S Pereira, S Shin, S Choi, H Kim, D Yoo, SM Ali, K Paeng, CY Ock, SI Cho, S Kim - Nature npj precision oncology -- (IF 6.8)

[J5] Changes in the tumor microenvironment in recurrent head and neck squamous cell carcinoma and its implication on efficacy of immune checkpoint inhibitors

Discover Oncology 2024 - DH Kim, M Kang, G Park, M Mostafavi, Y Lim, CY Ock, J Koh, YK Jeon, KC Jung, SH Ahn, EJ Chung, SK Kwon, B Keam - Springer Discover Oncology -- (IF 2.8)

[J4] Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a predictive biomarker for axitinib in adenoid cystic carcinoma

Diagnostics 2022 - HG Cho, SI Cho, S Choi, W Jung, J Shin, G Park, J Moon, M Ma, H Song, M Mostafavi, M Kang, S Pereira, K Paeng, D Yoo, CY Ock, S Kim - MDPI Diagnostics -- (IF 3.99)

[J3] Learning to reconstruct HDR images from events, with applications to depth and flow

Head & Neck 2023 - DH Kim, Y Lim, C‐Y Ock, G Park, S Park, H Song, M Ma, M Mostafavi, EJ Kang, M‐J Ahn, K‐W Lee, JH Kwon, Y Yang, YH Choi, MK Kim, JH Ji, T Yun, S‐B Kim, B Keam - Wiley Head & Neck -- (IF 2.9)

[J2] Learning to reconstruct HDR images from events, with applications to depth and flow

🏆IJCV 2021 - M Mostafavi, L Wang, KJ Yoon - Springer International Journal of Computer Vision -- (IF 11.54)

[J1] E2SRI: Learning to Super-Resolve Intensity Images from Events

🏆TPAMI 2021 - M Mostafavi, Y Nam, J Choi, KJ Yoon - IEEE-Transactions on Pattern Analysis and Machine Intelligence -- (IF 24.31)

[C4] Event-based high dynamic range image and very high frame rate video generation using conditional generative adversarial networks

CVPR 2019 - L Wang*, M Mostafavi*, YS Ho, and KJ Yoon -*equal contribution - CVF/IEEE Conference on Computer Vision and Pattern Recognition -- (25.2% accept. rate)

[C3] Learning to Super Resolve Intensity Images from Events

🏆Oral CVPR 2020 - M Mostafavi, J Choi, KJ Yoon - CVF/IEEE Conference on Computer Vision and Pattern Recognition -- (5% accept. rate)

[C2] Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds

ICCV 2021 - M Mostafavi, KJ Yoon, J Choi - CVF/IEEE International Conference on Computer Vision -- (25.9% accept. rate)

[C1] Stereo Depth from Event Cameras: Concentrate and Focus on the Future

CVPR 2022 - Y Nam*, M Mostafavi*, KJ Yoon, JH Choi - CVF/IEEE Conference on Computer Vision and Pattern Recognition -- (25.33% accept. rate)

[A4] Identification of HER2 ultra-low based on an artificial intelligence (AI)-powered HER2 subcellular quantification from HER2 immunohistochemistry images.

ASCO 2024 - Jung, Wonkyung and Lee, Taebum and SHIN, Sangwon and Brattoli, Biagio and Mostafavi, Mohammad and Park, Gahee and Kim, Sukjun and Lee, Hyunwoo and Cho, Yoon Ah and Cho, Eun Yoon and others - American Society of Clinical Oncology

[A3] 123P Artificial intelligence (AI)-powered analysis of human epidermal growth factor receptor-2 (HER2) and tumor-infiltrating lymphocytes (TILs) in advanced biliary tract cancer (BTC)

ESMO 2023 - G Kim, C Kim, B Kang, S Shin, T Lee, S Song, S Kim, M Mostafavi, H Song, S Pereira, H Chon - ESMO Congres Abstracts

[A2] 1293 Fragmented pattern of tumor mass is related to fibroblast activation mitigating spatial interaction between tumor and immune cells.

SITC 2023 - S Kim, S Song, S Kim, M Kang, M Mostafavi, D Yoo, CH Ahn, S Ali, C-Y Ock - SITC Meeting Abstracts

[A1] Universal immunohistochemistry positivity classification of cancer cells across multiple cancer types and antibodies using artificial intelligence.

AACR 2023 - B Brattoli*, M Mostafavi*, S Choi, T Lee, S Kim, W Jung, SI Cho, J Lee, K Chung, J Ryu, S Park, S Pereira, S Shin, CY Ock - AACR Annual Meeting Abstracts

Presidential Excellence Award - Best Ph.D. Dissertation

GIST - Gwangju Institute of Science and technology

Rank #1 CVPRW Event-based vision competition for depth estimation from event cameras

CVPR Workshop on Event-based vision

Outstanding RA Award

GIST - Gwangju Institute of Science and technology

Doctoral Consortiums

IEEE CVPR (2020 - USA, Virtual) and KCCV (2020 - Korea)

Best paper awards

KSC (2019 - Korea), IPIU Bronze (2019 - Korea)

Scholarships

Korean Gov. (2015-2019), Global Uni. Project (2015), Iranian Gov. Scholarship (2009-2011)

Challenge organizer

• Advances in Neuromorphic Vision - IEEE ICME 2024.

Volume Editor

• MICCAI 2023 satellite events proceedings - Springer LNCS 2024.

Challenge organizer

• OCELOT 2023: Cell Detection from Cell-Tissue Interaction - MICCAI 2023.

Reviewer

• IEEE: CVPR, ECCV, ICCV | MICCAI | IEEE TIM, TCI | IET IP | Iranian J. of Medical Physics.

IEEE YPAG Manager

• First Manager of IEEE Young Professionals Affinity Group in Gwangju Korea.